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Senior data analyst (L3)

Posted 27 days agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: United States

💸 Salary: 110400.0 - 137900.0 USD per year

🔍 Industry: SaaS

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: Project ManagementPythonSQLData AnalysisETLMachine LearningCross-functional Team LeadershipTableauData engineeringData scienceCommunication SkillsAnalytical SkillsRESTful APIsMentoringReportingData visualizationStakeholder managementStrategic thinkingFinancial analysisData modelingData analytics

Requirements:
  • 5+ years of professional experience in developing technical BI and data analytics solutions in a fast paced industry.
  • Experienced in machine learning and Data science, particularly advanced forecasting techniques through either R or Python.
  • Experience working with SQL and relational and multidimensional database schemas and designs.
  • Extensive experience with Tableau and/or Looker.
  • Proven ability to map out problem solving frameworks and make strategic recommendations based on data to leadership.
  • Awareness of latest updates in industry such as Large Language Models (LLMs), Retrieval Augmented Generation, Robotic Process Automation concepts etc.
Responsibilities:
  • Conduct multi-disciplinary analysis to identify insights that help drive revenue growth initiatives and work cross-functionally to get the initiatives implemented
  • Develop data products that improve efficiency of partner teams and identify right key metrics to assess performance for different functional teams
  • Develop data process automation workflows to improve effectiveness of stakeholders analytics processes.
  • Be a true partner to stakeholders, understand real questions behind requests and advocate for the best long term solutions.
  • Be a true self starter who identifies needs, writes documentation for others, and takes ownership over analytic products that may require inputs from multiple stakeholders.
  • Partner with various business units including Finance, Go to Market, Data Engineering etc. on requirements for new datasets and metrics.
  • Work on process automation and optimization across teams in Twilio
  • Mentor junior analysts on the Business Intelligence team, as well as coach business stakeholders to promote a data savvy culture in the organization.
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